Image number character recognition method

A digital character and recognition method technology, applied in the field of image processing, can solve the problems of high dimensionality of feature points, large memory space, slow calculation speed, etc., and achieve the effect of optimizing algorithm structure, ensuring efficiency, accuracy and speed

Inactive Publication Date: 2016-02-17
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its disadvantage is that the calculation speed is slow, and it is not suitable for platforms with weak computing power such as smart phones. At the same time, the dimensionality of the detected feature points is relatively high. When the number of feature points is large, the memory space will be very large.
[0007] Usually, the dimension of the image is high, and the distribution of characters in such a high dimension is sparse, even if the method based on statistical analysis will encounter the problem of small samples, the amount of calculation will also increase

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image number character recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 As shown, a kind of image digital character recognition method that the present invention designs is in the actual application process, such as being applied on the mobile terminal of Android system, specifically comprises the following steps:

[0034] Step 001. The Android system provides Camera, SurfaceView and ImageView components, and the structure is composed of three superpositions. Among them, Camera is responsible for previewing images, taking pictures and intercepting images in specified areas, and is at the bottom; SurfaceView is responsible for loading preview images and initializing camera parameters. It is in the middle layer; ImageView is responsible for drawing the viewfinder and is in the top layer. Obtain a sample image containing digital characters through the Camera, SurfaceVie...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an image number character recognition method. An algorithm structure is optimized, and influences of illumination and inclination are processed in an image preprocessing stage, thereby ensuring that a better binary character image is acquired before character recognition; then, a two-dimensional PCA algorithm is adopted to extract primary characteristics in an image so as to reduce the dimension and operation complexity of the image; a decision tree algorithm and an Adaboost algorithm are combined to optimize a classification algorithm, thereby ensuring the recognition efficiency and reducing the over-fitting risk; and finally, a nine-one division method is used for verifying the generalization ability of a classification model so as to ensure the stability of a classifier. By virtue of algorithm optimization, the accuracy rate and speed of number character recognition are obviously increased.

Description

technical field [0001] The invention relates to an image digital character recognition method, which belongs to the technical field of image processing. Background technique [0002] Character recognition technology integrates digital image processing and pattern recognition technology. It is an important research direction. It has huge economic value and practical significance. It can improve the work efficiency of management departments and save a lot of manpower and funds. As early as the 1920s, German scientist Taushek proposed the concept of OCR for optical character recognition; in the 1950s, the research on printed character recognition began; in the late 1980s, rapid character recognition became possible; in the early 1990s, a large number of OCR aspects Papers and systems appeared; today, character recognition technology has gradually matured and been widely used with the development of computer technology and artificial intelligence research. [0003] At present, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24133G06F18/214
Inventor 程艳云吕建飞
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products